Literature DB >> 24788818

Analysis of differentially expressed genes between rheumatoid arthritis and osteoarthritis based on the gene co-expression network.

Qing-You Lu1, Qing-Hui Han1, Xia Li1, Zeng-Chun Li1, Yu-Tao Pan1, Lin Liu1, Qing-Ge Fu1.   

Abstract

The aim of the current study was to investigate disease-associated genes and related molecular mechanisms of osteoarthritis (OA) and rheumatoid arthritis (RA). Using GSE7669 datasets downloaded from Gene Expression Omnibus databases, the differentially expressed genes (DEGs) between RA and OA synovial fibroblasts (SFBs) (n=6 each) were screened. DEG-associated co-expression and topological properties were analyzed to determine the rank of disease-associated genes. Specifically, the fold change of differentially expressed genes, the clustering coefficient and the degree of differential gene co-expression were integrated to determine the disease-associated gene ranking. The underlying molecular mechanisms of these crucial disease-associated genes were investigated by gene ontology (GO) enrichment analysis. A total of 1313 DEGs, including 1068 upregulated genes and 245 downregulated genes were observed. The top 20 disease-associated genes were identified, including proteoglycan 4, inhibin β B, carboxypeptidase M, alcohol dehydrogenase 1C and integrin β2. The major GO biological processes of these top 20 disease-associated genes were highly involved in the immune system, such as responses to stimuli, immune responses and inflammatory responses. This large-scale gene expression study observed disease-associated genes and their associated GO function in RA and OA, which may provide opportunities for biomarker development and novel insights into the molecular mechanisms of these two diseases.

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Year:  2014        PMID: 24788818     DOI: 10.3892/mmr.2014.2166

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


  10 in total

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2.  Paeoniflorin ameliorates rheumatoid arthritis in rat models through oxidative stress, inflammation and cyclooxygenase 2.

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3.  Screening of gene signatures for rheumatoid arthritis and osteoarthritis based on bioinformatics analysis.

Authors:  Peiheng He; Ziji Zhang; Weiming Liao; Dongliang Xu; Ming Fu; Yan Kang
Journal:  Mol Med Rep       Date:  2016-06-23       Impact factor: 2.952

4.  Bioinformatics analysis of differentially expressed genes involved in human developmental chondrogenesis.

Authors:  Jian Zhou; Chenxi Li; Anqi Yu; Shuo Jie; Xiadong Du; Tang Liu; Wanchun Wang; Yingquan Luo
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

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6.  Synovial fluid proteome profile of surgical versus chemical induced osteoarthritis in rabbits.

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7.  Potential biomarkers that discriminate rheumatoid arthritis and osteoarthritis based on the analysis and validation of datasets.

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8.  Gene Expression Microarray Data Identify Hub Genes Involved in Osteoarthritis.

Authors:  Jian Zhou; Dazhi Zou; Rongjun Wan; Jie Liu; Qiong Zhou; Zhen Zhou; Wanchun Wang; Cheng Tao; Tang Liu
Journal:  Front Genet       Date:  2022-06-06       Impact factor: 4.772

9.  Retinoic Acid-Platinum (II) Complex [RT-Pt(II)] Protects Against Rheumatoid Arthritis in Mice via MEK/Nuclear Factor kappa B (NF-κB) Pathway Downregulation.

Authors:  Ziqiang Cui; Yaping Lin; Yuhong Liu; Ling Cao; Li Cui
Journal:  Med Sci Monit       Date:  2020-08-03

10.  Identification and validation of hub genes of synovial tissue for patients with osteoarthritis and rheumatoid arthritis.

Authors:  Yanzhi Ge; Zuxiang Chen; Yanbin Fu; Xiujuan Xiao; Haipeng Xu; Letian Shan; Peijian Tong; Li Zhou
Journal:  Hereditas       Date:  2021-09-28       Impact factor: 3.271

  10 in total

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